A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models
print("\n" + "="*72) print("PART 3: Interaction decomposition") print("="*72) inter = tree_expl.shap_interaction_values(X_te.iloc) inter_abs = np.abs(inter).mean(0) diag = np.diagonal(inter_abs).copy() off = inter_abs.copy();...

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